ABSTRACT
Multivariate analysis can be successfully used to determine the dominating constituents, which control the groundwater quality of a region. The ground water quality data of district Jodhpur was grouped as shallow aquifer (< 40 m depth) and deep aquifer (> 40 m depth). Principal Component Analysis was used to predict the dominating water quality constituents and it revealed that five principal components are accounted for the total chemical variability in the ground water quality of both aquifers. The common constituents-fluoride, nitrate, pH and potassium have perceptible influence on the quality of ground water of both aquifers of district Jodhpur.
Subject(s)
Environmental Monitoring/methods , Fluorides/analysis , Hydrogen-Ion Concentration , India , Multivariate Analysis , Nitrates/analysis , Potassium/analysis , Water/analysis , Water Pollutants/analysisABSTRACT
Genomic sequence data are often available well before the annotated sequence is published. We present a method for analysis of genomic DNA to identify coding sequences using the GeneScan algorithm and characterize these resultant sequences by BLAST. The routines are used to develop a system for automated annotation of genome DNA sequences.